2018.08.20 DL for Semantic Composition and NLI

Abstract

Reasoning and inference are central to both human and artificial intelligence (AI). Modeling inference in natural language is notoriously challenging but is a basic problem towards true natural language understanding. In this talk, I will introduce the state-of-the-art deep learning models for natural language inference (NLI). The talk will also discuss a more fundamental problem: learning representation for semantics and composition. We will focus not only on how deep learning models achieve the state-of-the-art performance but also on their limitations.